disentangling-vae
scvi-tools
disentangling-vae | scvi-tools | |
---|---|---|
1 | 2 | |
766 | 1,131 | |
- | 2.6% | |
0.0 | 9.4 | |
over 1 year ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
disentangling-vae
-
[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
scvi-tools
- Error with scvi
-
python for bioinformatics
I use both but I prefere python, its much easier for huge datasets, and a lot of useful tools are only available on python: https://github.com/YosefLab/scvi-tools
What are some alternatives?
Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
seurat - R toolkit for single cell genomics
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
classification - Classification of the MNIST dataset using various Deep Learning techniques
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
sanbomics_scripts - scripts and notebooks from sanbomics
CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.
Roundtrip - Roundtrip: density estimation with deep generative neural networks
minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.